TutorCraftEase: Enhancing Pedagogical Question Creation with Large Language Models

要旨

Pedagogical questions are crucial for fostering student engagement and learning. In daily teaching, teachers pose hundreds of questions to assess understanding, enhance learning outcomes, and facilitate the transfer of theory-rich content. However, even experienced teachers often struggle to generate a large volume of effective pedagogical questions. To address this, we introduce TutorCraftEase, an interactive generation system that leverages large language models (LLMs) to assist teachers in creating pedagogical questions. TutorCraftEase enables the rapid generation of questions at varying difficulty levels with a single click, while also allowing for manual review and refinement. In a comparative user study with 39 participants, we evaluated TutorCraftEase against a traditional manual authoring tool and a basic LLM tool. The results show that TutorCraftEase can generate pedagogical questions comparable in quality to those created by experienced teachers, while significantly reducing their workload and time.

著者
Wenhui Kang
University of Chinese Academy of Sciences, Beijing, China
Lin Zhang
University of Stuttgart, Stuttgart, Germany
Xiaolan Peng
Institute of software,Chinese Academy of Sciences, Beijing, -Select-, China
Hao Zhang
Chinese Academy of Sciences, Beijing, China
Anchi Li
Beijing University of Technology, Beijing, China
Mengyao Wang
the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Jin Huang
Chinese Academy of Sciences, Beijing, China
Feng Tian
Institute of software, Chinese Academy of Sciences, Beijing, China
Guozhong Dai
Chinese Academy of Sciences, Beijing, China
DOI

10.1145/3706598.3713731

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713731

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technology in Education and Academic Practice

G303
5 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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